vinta / awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
See what the GitHub community is most excited about today.
A curated list of awesome Python frameworks, libraries, software and resources
Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Easy-to-use Speech Toolkit including SOTA/Streaming ASR with punctuation, influential TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
LAVIS - A One-stop Library for Language-Vision Intelligence
Ansible for DevOps examples.
Flax is a neural network library for JAX that is designed for flexibility.
CTF chall write-ups, files, scripts etc (trying to be more organised LOL)
稿件基本稳定,欢迎提意见,会及时修改
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
The uncompromising Python code formatter
A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.
[NeurIPS 2022] Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
An orchestration platform for the development, production, and observation of data assets.
Image inpainting tool powered by SOTA AI Model
Conan - The open-source C/C++ package manager
Experience macOS just like before
deep learning for image processing including classification and object-detection etc.
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara